Enhancing Ethnoscience Education Through AI: A Sustainable Learning Approach for Pre-service Teachers

Sang Putu Kaler Surata, Ida Bagus Ari Arjaya, I Made Diarta

Abstract


A critical review in this study was used as a tool for analyzing the integration of artificial intelligence (AI) and ethnoscience into pre-service teacher education to promote sustainable learning. Ethnoscience, centered on indigenous knowledge systems (IKS), is essential in conserving cultural heritage and fostering culturally responsive teaching. Nevertheless, integration into formal education is not trivial because these are often standardized and rigid. This paper critically examines the literature related to all these issues and concludes that AI—an artefact capable of personalized learning and adaptive algorithms—has a newly created role as an important resource for pre-service middle school teachers in several ways. The paper reviews research works that have applied AI in ethnoscience education and provides a critical evaluation of them, pointing out possible advantages like personalized learning experience according to different cultural settings or better understanding sharpened by interactive tools. It also critically looks at the problems such as: how using an AI for cultural contexts can fail because it implicates into something called ethico-law mechanism; and that models of indigenous knowledge systems are made difficult to exist inside a binary logic outside some forms of performance via limitations upon adaptive learning communities in situations explained above. Despite these challenges, the review argues that integrating AI with ethnoscience can significantly contribute to sustainable learning by fostering long-term, meaningful engagement with knowledge and preparing pre-service teachers to create inclusive and culturally relevant educational environments. The review also identifies gaps in current research and suggests directions for future studies to explore the impact of AI on ethnoscience education more comprehensively.

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References


Aggarwal, D. (2023). Exploring the role of artificial intelligence for augmentation of adaptable sustainable education. Asian Journal of Advanced Research and Reports, 17(11), 179-184. https://doi.org/10.9734/ajarr/2023/v17i11563

Aikenhead, G. S., & Ogawa, M. (2007). Indigenous knowledge and science revisited. Cultural Studies of Science Education, 2(3), 539–620. https://doi.org/10.1007/s11422-007-9067-8

Ansumarwaty, F. (2023). Analysis of the feasibility and effectiveness of ethnoscience-based science learning tools for improving students' science literacy: A review. Amplitudo Journal of Science & Technology Innovation, 2(2), 119-124. https://doi.org/10.56566/amplitudo.v2i2.98

Barnhardt, R., & Kawagley, A. O. (2005). Indigenous knowledge systems and Alaska Native ways of knowing. Anthropology & Education Quarterly, 36(1), 8–23. https://doi.org/10.1525/aeq.2005.36.1.008

Dewi, C., Erna, M., Martini, M., Haris, I., & Kundera, I. (2021). The effect of contextual collaborative learning based ethnoscience to increase student s scientific literacy ability. Journal of Turkish Science Education. https://doi.org/10.36681/tused.2021.88

Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin's Press.

Fitri, A. (2023). Development of physics e-module integrated with pbl model and ethnoscience to improve students’ 21st century skills. Jurnal Penelitian Pendidikan Ipa, 9(12), 10610-10618. https://doi.org/10.29303/jppipa.v9i12.5877

Fuadi, T. (2024). Ethnoscience in biology learning on reproductive system materials. Jurnal Penelitian Pendidikan IPA, 10(1), 317-324. https://doi.org/10.29303/jppipa.v10i1.6771

Handayani, R., Wilujeng, I., & Prasetyo, Z. (2018). Elaborating indigenous knowledge in the science curriculum for the cultural sustainability. Journal of Teacher Education for Sustainability, 20(2), 74-88. https://doi.org/10.2478/jtes-2018-0016

Hasibuan, H. (2023). Ethnoscience as the policy implementation of kurikulum merdeka in science learning: A systematic literature review. Jurnal Penelitian Pendidikan IPA, 9(8), 366-372. https://doi.org/10.29303/jppipa.v9i8.4500

Haulia, L., Hartati, S., & Mas’ud, A. (2022). Learning biology through the ethnoscience-PBL model: Efforts to improve students' scientific thinking skills. Scientiae Educatia, 11(2), 119. https://doi.org/10.24235/sc.educatia.v11i2.11229

Hermes, M., Bang, M., & Marin, A. (2012). Designing indigenous language revitalization. Harvard Educational Review, 82(3), 381–402. https://doi.org/10.17763/haer.82.3.q8117w861241871j

Hikmawati, H., Suastra, I., & Pujani, N. (2020). Ethnoscience-based science learning model to develop critical thinking ability and local cultural concern for junior high school students in lombok. Jurnal Penelitian Pendidikan IPA, 7(1), 60-66. https://doi.org/10.29303/jppipa.v7i1.530

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Kamruzzaman, M. (2023). Ai- and iot-assisted sustainable education systems during pandemics, such as covid-19, for smart cities. Sustainability, 15(10), 8354. https://doi.org/10.3390/su15108354

Kasi, Y., Samsudin, A., Widodo, A., & Riandi, R. (2021). A thematic review on exploring ethnoscience in science education: A case in indonesia. Tadris Jurnal Keguruan Dan Ilmu Tarbiyah, 6(2), 229-241. https://doi.org/10.24042/tadris.v6i2.9509

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.

Munawarah, S. (2024). Enhancing collaboration skills and student learning outcomes through the implementation of an ethnoscience-based common knowledge construction model (ckcm) with podcasts. Journal of Education Research and Evaluation, 8(1), 86-94. https://doi.org/10.23887/jere.v8i1.71557

Murwitaningsih, S. (2023). Ethnoscience in indonesia and it’s implication to environmental education: A systematic literature review. Jurnal Penelitian Pendidikan IPA, 9(10), 903-911. https://doi.org/10.29303/jppipa.v9i10.5447

Nurhasnah, N., Lufri, L., & Wang, L. (2022). Effect size analysis of the implications ethnoscience approach to the improvement of 21st century skills in science learning. Jurnal IPA & Pembelajaran IPA, 6(3), 287-299. https://doi.org/10.24815/jipi.v6i3.26116

Parmin, P., & Fibriana, F. (2019). Prospective teachers’ scientific literacy through ethnoscience learning integrated with the indigenous knowledge of people in the frontier, outermost, and least developed regions. Jurnal Penelitian Dan Pembelajaran IPA, 5(2), 142. https://doi.org/10.30870/jppi.v5i2.6257

Sari, F., Maryati, M., & Wilujeng, I. (2023). Ethnoscience studies analysis and their integration in science learning: Literature review. Jurnal Penelitian Pendidikan IPA, 9(3), 1135-1142. https://doi.org/10.29303/jppipa.v9i3.2044

Sari, M. (2024). Integrating ethnoscience on critical-thinking oriented web-based e-module of secondary school science. Jurnal Penelitian Pendidikan IPA, 10(1), 371-384. https://doi.org/10.29303/jppipa.v10i1.5928

Sarkingobir, Y. (2024). Enhancing critical thinking through ethnoscience-integrated problem-based learning: A comparative study in secondary education. IJETE, 1(1), 1. https://doi.org/10.33394/ijete.v1i1.10878

Smith, L. T. (2016). Decolonizing methodologies: Research and indigenous peoples (2nd ed.). Zed Books.

Sterling, S. (2011). Sustainable education: Re-visioning learning and change (2nd ed.). Green Books.

Suciyati, A., Suryadarma, I., & Paidi, P. (2021). Integration of ethnoscience in problem-based learning to improve contextuality and meaning of biology learning. Biosfer Jurnal Pendidikan Biologi, 14(2), 201-215. https://doi.org/10.21009/biosferjpb.18424

Sumarni, W., Faizah, Z., Subali, B., Wiyanto, W., & Ellianawati, E. (2020). The urgency of religious and cultural science in stem education: A meta data analysis. International Journal of Evaluation and Research in Education (IJERE), 9(4), 1045. https://doi.org/10.11591/ijere.v9i4.20462

Supiyati, S. (2024). Implementation of traditional games in ethnoscience learning. Jurnal Penelitian Pendidikan IPA, 10(5), 2586-2594. https://doi.org/10.29303/jppipa.v10i5.7550

Tuck, E., & Yang, K. W. (2012). Decolonization is not a metaphor. Decolonization: Indigeneity, Education & Society, 1(1), 1–40. https://jps.library.utoronto.ca/index.php/des/article/view/18630

Tsai, C. W., Shen, P. D., & Fan, Y. C. (2020). The applications of virtual reality technology in learning: A literature review. Educational Technology & Society, 23(1), 32–44.

Verawati, N., Harjono, A., Wahyudi, W., & Gummah, S. (2022). Inquiry-creative learning integrated with ethnoscience: Efforts to encourage prospective science teachers’ critical thinking in indonesia. International Journal of Learning Teaching and Educational Research, 21(9), 232-248. https://doi.org/10.26803/ijlter.21.9.13

Wahyuningtyas, D. (2023). Improving the critical thinking ability science through problem-based learning model assisted student worksheet ethnoscience. Jurnal PTK Dan Pendidikan, 9(1). https://doi.org/10.18592/ptk.v9i1.9002

Wals, A. E. J., & Jickling, B. (2002). “Sustainability” in higher education: From doublethink and newspeak to critical thinking and meaningful learning. Higher Education Policy, 15(2), 121–131. https://doi.org/10.1016/S0952-8733(02)00003-X

Wirama, T. (2023). Ethnoscience-based science teaching and learning to improve students' cognitive learning outcomes: A systematic literature review. Indonesian Journal of Educational Development (IJED), 4(2), 194-208. https://doi.org/10.59672/ijed.v4i2.2897

Yasir, M., & Wulandari, A. (2020). Teaching madura local content literacy on preservice science teacher using lwis model. Jurnal Pena Sains, 7(2), 103-112. https://doi.org/10.21107/jps.v7i2.8445

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0

Zinyeka, G., Onwu, G., & Braun, M. (2016). A truth-based epistemological framework for supporting teachers in integrating indigenous knowledge into science teaching. African Journal of Research in Mathematics Science and Technology Education, 20(3), 256-266. https://doi.org/10.1080/18117295.2016.1239963


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